bru_summarise: Summarise and annotate data

In inlabru-org/inlabru: Bayesian Latent Gaussian Modelling using INLA and Extensions

Summarise and annotate data

Description

Summarise and annotate data

Usage

bru_summarise(
  data,
  probs = c(0.025, 0.5, 0.975),
  x = NULL,
  cbind.only = FALSE,
  max_moment = 2
)

Arguments

data	A list of samples, each either numeric or a data.frame
probs	A numeric vector of probabilities with values in ⁠[0, 1]⁠, passed to stats::quantile
x	A data.frame of data columns that should be added to the summary data frame
cbind.only	If TRUE, only cbind the samples and return a matrix where each column is a sample
max_moment	integer, at least 2. Determines the largest moment order information to include in the output. If max_moment > 2, includes "skew" (skewness, E[(x-m)^3/s^3]), and if max_moment > 3, includes "ekurtosis" (excess kurtosis, E[(x-m)^4/s^4] - 3). Default 2. Note that the Monte Carlo variability of the ekurtois estimate may be large.

Value

A data.frame or ⁠Spatial[Points/Pixels]DataFrame⁠ with summary statistics, "mean", "sd", paste0("q", probs), "mean.mc_std_err", "sd.mc_std_err"

Examples

bru_summarise(matrix(rexp(10000), 10, 1000), max_moment = 4, probs = NULL)

inlabru-org/inlabru documentation built on April 25, 2024, 2:43 p.m.